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dotplot-mcp

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    TDQS

    B3.4/5.0

    Scored across 16 tools

    Disambiguation4/5

    Each tool has a distinct, clearly-stated purpose, and the descriptions explicitly disambiguate the large overlap between the meta-tool analyze and its component tools (dot_plot, find_aha_moments, retention_curve, generate_report by naming analyze as 'START HERE' and the others as 'parts'. Boundaries are clear in text but the pipeline-vs-composite overlap still requires careful reading to avoid picking a component when the whole workflow is wanted.

    Naming Consistency4/5

    Names are uniformly snake_case, which is the key consistency factor. There is mild variation between verb_noun forms (get_report_strings, generate_report, classify_users, find_aha_moments) and noun phrases (dot_plot, retention_curve, onboarding_funnel), but the convention is predictable enough to navigate.

    Tool Count4/5

    16 tools is slightly on the heavy side but justified for a full product-analytics suite spanning ingest, analysis, benchmarking, publishing, and history. Nearly every tool earns its place, though some (compare_benchmark, submit_benchmark, find_similar_cases) are peripheral.

    Completeness4/5

    The surface covers the lifecycle well: data ingestion (load_from_db, describe_events), the full analysis workflow (analyze plus components), external context (compare_benchmark, find_similar_cases, history_compare), and output (generate_report, publish_report). No obvious dead ends, though there is no raw-data export or report deletion tool.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources